Underwater Image Super-Resolution using Deep Residual Multipliers
Md Jahidul Islam,Sadman Sakib Enan,Peigen Luo,Junaed Sattar,Md Jahidul Islam,Sadman Sakib Enan,Peigen Luo,Junaed Sattar
We present a deep residual network-based generative model for single image super-resolution (SISR) of underwater imagery for use by autonomous underwater robots. We also provide an adversarial training pipeline for learning SISR from paired data. In order to supervise the training, we formulate an objective function that evaluates the perceptual quality of an image based on its global content, col...
